{"id":"W1886307210","doi":"10.1007/s11368-015-1135-1","title":"Using an optical settling column to assess suspension characteristics within the free, flocculation, and hindered settling regimes","year":2015,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Agence Nationale de la Recherche","keywords":"Settling; Flocculation; Sediment; Suspension (topology); Particle (ecology); Environmental science; Soil science; Geology; Environmental engineering; Geomorphology; Mathematics; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002970536,0.0003022484,0.0001840129,0.000477524,0.0006131107,0.0007048159,0.0002249116,0.0003595412,0.0007401737],"category_scores_gemma":[0.0004777905,0.0001674704,0.0002021084,0.000356813,0.0003171917,0.0004649296,0.0002969591,0.0005498346,0.0001842638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818154,"about_ca_system_score_gemma":0.0008820124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879928,"about_ca_topic_score_gemma":0.04658438,"domain_scores_codex":[0.999801,0.00001250676,0.00001373147,0.00005551287,0.00007219958,0.00004505759],"domain_scores_gemma":[0.9994778,0.000150047,0.00009631078,0.000025688,0.0001791514,0.00007098309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001608644,0.00008076296,0.01100964,0.00002357713,0.00001794711,0.000009617973,0.000101228,0.0001552634,0.9848167,0.00005852377,0.00003193276,0.003533927],"study_design_scores_gemma":[0.00004217797,0.001277266,0.1970244,0.00001174793,0.0001121258,0.00009363252,0.0004123664,0.01365029,0.78601,0.0001510227,0.001170139,0.00004477319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934915,0.0001215924,0.005501266,0.00001668043,0.000008064691,0.00003900122,0.0001283386,0.00004251499,0.0006510224],"genre_scores_gemma":[0.9860435,0.000211902,0.01126494,0.00009370001,0.000008121958,0.00006263561,0.000408159,0.00002705304,0.001880027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01879928,"threshold_uncertainty_score":0.03737968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888473255549929,"score_gpt":0.2947204867078924,"score_spread":0.2258357541523931,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}